wisam

What is the main purpose of backpropagation in neural networks?

• To change the architecture

• To stop the training process

• To update weights and reduce loss

• To increase the loss

What is the goal of updating parameters during training?

• To change the input data

• To reduce the loss

• To increase the loss

• To stop the training

What happens during the forward pass in the training process?

• Data is supplied and loss is computed

• Training is stopped

• Parameters are initialized

• Weights are updated

What is one of the concerns when training a neural network?

• What color the network should be

• How to make the network slower

• What should be the learning rate

• How to avoid using data

What will be discussed in the next videos according to the narrator?

• Technical details of training

• More examples of animals

• Different types of neural networks

• How to stop training immediately